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You searched for: subject:"reversibility"
[texts]IV. Microscopic reversibility and the information contained in the composition vector - Juan José Luetich
In equilibrium systems, transitions at microscopic level are reversible. In this work the microscopic level is deined as the one corresponding to such a detailed description of the system composition that the observer, (1) for inability, cannot give, or (2) for his own decision, does not give. (These two situations, for practical purposes, are equivalent.) In order to clarify this point, theoretical aspects underlying the physical approach to chemical equilibrium problems are examined...
Keywords: microscopic reversibility; dynamic equilibrium; Chemical Thermodynamics; amount of information; conservation of information
Downloads: 22
[audio]MIT 16.01 Unified Engineering I, II, III, & IV, Fall 2005 - MIT OpenCourseWare
The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, a...
Keywords: Unified; Unified Engineering; aerospace; CDIO; C-D-I-O; conceive; design; implement; operate; team; team-based; discipline; materials; structures; materials and structures; computers; programming; computers and programming; fluids; fluid mechanics; thermodynamics; propulsion; signals; systems; signals and systems; systems problems; fundamentals; technical communication; graphical communication; communication; reading; research; experimentation; personal response system; prs; active learning; First law; first law of thermodynamics; thermo-mechanical; energy; energy conversion; aerospace power systems; propulsion systems; aerospace propulsion systems; heat; work; thermal efficiency; forms of energy; energy exchange; processes; heat engines; engines; steady-flow energy equation; energy flow; flows; path-dependence; path-independence; reversibility; irreversibility; state; thermodynamic state; performance; ideal cycle; simple heat engine; cycles; thermal pressures; temperatures; linear static networks; loop method; node method; linear dynamic networks; classical methods; state method
Downloads: 213
[movies]MIT 16.01 Unified Engineering I, II, III, & IV, Fall 2005 - Spring 2006 - MIT OpenCourseWare
The basic objective of Unified Engineering is to give a solid understanding of the fundamental disciplines of aerospace engineering, as well as their interrelationships and applications. These disciplines are Materials and Structures (M); Computers and Programming (C); Fluid Mechanics (F); Thermodynamics (T); Propulsion (P); and Signals and Systems (S). In choosing to teach these subjects in a unified manner, the instructors seek to explain the common intellectual threads in these disciplines, a...
Keywords: Unified; Unified Engineering; aerospace; CDIO; C-D-I-O; conceive; design; implement; operate; team; team-based; discipline; materials; structures; materials and structures; computers; programming; computers and programming; fluids; fluid mechanics; thermodynamics; propulsion; signals; systems; signals and systems; systems problems; fundamentals; technical communication; graphical communication; communication; reading; research; experimentation; personal response system; prs; active learning; First law; first law of thermodynamics; thermo-mechanical; energy; energy conversion; aerospace power systems; propulsion systems; aerospace propulsion systems; heat; work; thermal efficiency; forms of energy; energy exchange; processes; heat engines; engines; steady-flow energy equation; energy flow; flows; path-dependence; path-independence; reversibility; irreversibility; state; thermodynamic state; performance; ideal cycle; simple heat engine; cycles; thermal pressures; temperatures; linear static networks; loop method; node method; linear dynamic networks; classical methods; state method
Downloads: 2,840
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